Parametric study of microscopic two-dimensional traffic flow models: A literature review

Indian traffic is highly heterogeneous consisting of all-inclusive vehicle characteristics, occupying any lateral position over the entire road width which results in vehicles continuous interaction with the neighbouring vehicles (in both longitudinal and lateral directions), indicating two-dimensional (2D) traffic manoeuvre, opposite to the traditional one-dimensional (1D) interaction of vehicles in lane based traffic. Certain modifications were made in the existing 1D models to describe the overtaking and lane changing manoeuvre of the mixed traffic stream. However, the continuous lateral manoeuvre of the no-lane based mixed traffic cannot be described by these parameters. This paper initially provides a brief review of different 2D behavioural models, which describe the longitudinal and lateral movements simultaneously. Also, the various existing commercially available traffic micro-simulation frameworks developed for representing the real traffic are reviewed. Different microscopic traffic parameters ...

[1]  Tomer Toledo,et al.  Driving Behaviour: Models and Challenges , 2007 .

[2]  Haris N. Koutsopoulos,et al.  Simulation Laboratory for Evaluating Dynamic Traffic Management Systems , 1997 .

[3]  Timothy George Oketch,et al.  New Modeling Approach for Mixed-Traffic Streams with Nonmotorized Vehicles , 2000 .

[4]  Cheng Xu,et al.  Staggered car-following induced by lateral separation effects in traffic flow , 2012 .

[5]  Helbing,et al.  Congested traffic states in empirical observations and microscopic simulations , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[6]  G. Peng,et al.  Optimal velocity difference model for a car-following theory , 2011 .

[7]  P. Chakroborty,et al.  Calibrating the membership functions of the fuzzy inference system: instantiated by car-following data , 2003 .

[8]  Tom V. Mathew,et al.  Strip-Based Approach for the Simulation of Mixed Traffic Conditions , 2015, J. Comput. Civ. Eng..

[9]  Michael Schreckenberg,et al.  A cellular automaton model for freeway traffic , 1992 .

[10]  Partha Chakroborty,et al.  Evaluation of the General Motors based car-following models and a proposed fuzzy inference model , 1999 .

[11]  Min Zhang,et al.  Modeling and simulation for microscopic traffic flow based on multiple headway, velocity and acceleration difference , 2011 .

[12]  E. Montroll,et al.  Traffic Dynamics: Studies in Car Following , 1958 .

[13]  Zhang Yu,et al.  A Parameters Calibration Method in Simulated Complex Traffic Network , 2015 .

[14]  Peter Hidas,et al.  MODELLING LANE CHANGING AND MERGING IN MICROSCOPIC TRAFFIC SIMULATION , 2002 .

[15]  K. Ramachandra Rao,et al.  Cellular Automata Model for Heterogeneous Traffic , 2009 .

[16]  Hussein Dia,et al.  Comparative evaluation of microscopic car-following behavior , 2005, IEEE Transactions on Intelligent Transportation Systems.

[17]  Majid Sarvi,et al.  A State-of-the-Art Review of Car-Following Models with Particular Considerations of Heavy Vehicles , 2015 .

[18]  Tom V. Mathew,et al.  Vehicle-type dependent car-following model for heterogeneous traffic conditions , 2011 .

[19]  P. G. Gipps,et al.  A behavioural car-following model for computer simulation , 1981 .

[20]  Charisma F. Choudhury,et al.  Modelling acceleration decisions in traffic streams with weak lane discipline: a latent leader approach , 2016 .

[21]  Nakayama,et al.  Dynamical model of traffic congestion and numerical simulation. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[22]  Dirk Helbing,et al.  Microscopic Simulation of Congested Traffic , 2000 .

[23]  Lawrence W. Lan,et al.  Cellular automaton simulations for mixed traffic with erratic motorcycles’ behaviours , 2010 .

[24]  P. G. Gipps,et al.  A MODEL FOR THE STRUCTURE OF LANE-CHANGING DECISIONS , 1986 .

[25]  Haris N. Koutsopoulos,et al.  Calibration of Microscopic Traffic Simulation Models , 2007 .

[26]  Harilaos N. Koutsopoulos,et al.  A microscopic traffic simulator for evaluation of dynamic traffic management systems , 1996 .

[27]  Hongxia Ge,et al.  Two velocity difference model for a car following theory , 2008 .

[28]  Mohamed S Kaseko,et al.  Incorporating vehicle mix in stimulus-response car-following models , 2016 .

[29]  V. Thamizh Arasan,et al.  Methodology for Modeling Highly Heterogeneous Traffic Flow , 2005 .

[30]  Martin Treiber,et al.  Traffic Flow Dynamics , 2013 .

[31]  S. Dai,et al.  Stabilization effect of traffic flow in an extended car-following model based on an intelligent transportation system application. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[32]  Michael Anderson,et al.  TRAFFIC SIMULATION SOFTWARE COMPARISON STUDY , 2004 .

[33]  Mike McDonald,et al.  Car-following: a historical review , 1999 .

[34]  Shiquan Zhong,et al.  Influence of lateral discomfort on the stability of traffic flow based on visual angle car-following model , 2012 .

[35]  Sheng Jin,et al.  Non-lane-based full velocity difference car following model , 2010 .

[36]  Lawrence W. Lan,et al.  A refined cellular automaton model to rectify impractical vehicular movement behavior , 2009 .

[37]  Dinesh Mohan,et al.  A Review of Cellular Automata Model for Heterogeneous Traffic Conditions , 2015 .

[38]  Partha Pratim Dey,et al.  Simulation of Mixed Traffic Flow on Two-Lane Roads , 2008 .

[39]  George A. Bekey,et al.  Control Theoretic Models of Human Drivers in Car Following , 1977 .

[40]  Hong Zheng,et al.  Routing Aspects of Electric Vehicle Users and their Effects on Network Performance , 2015 .

[41]  L. A. Pipes An Operational Analysis of Traffic Dynamics , 1953 .

[42]  Martin Treiber,et al.  Traffic Flow Dynamics: Data, Models and Simulation , 2012 .

[43]  K. Ramachandra Rao,et al.  Heterogeneous traffic flow modelling: a complete methodology , 2011 .

[44]  Ziyou Gao,et al.  Modeling the interactions between car and bicycle in heterogeneous traffic , 2015 .

[45]  David N. Lee,et al.  A Theory of Visual Control of Braking Based on Information about Time-to-Collision , 1976, Perception.

[46]  J. Meng,et al.  Cellular automaton model for mixed traffic flow with motorcycles , 2007 .

[47]  Qiang Li,et al.  Observation-Based Lane-Vehicle Assignment Hierarchy: Microscopic Simulation on Urban Street Network , 2000 .

[48]  Banihan Gunay,et al.  Car following theory with lateral discomfort , 2007 .

[49]  Ernest Peter Todosiev,et al.  The action point model of the driver-vehicle system / , 1963 .

[50]  Srinivas Peeta,et al.  Non-lane-discipline-based car-following model considering the effects of two-sided lateral gaps , 2018, 2018 Chinese Automation Congress (CAC).

[51]  Dihua Sun,et al.  Microscopic car-following model for the traffic flow: the state of the art , 2012 .

[52]  Jin-Liang Cao,et al.  Nonlinear analysis of the optimal velocity difference model with reaction-time delay , 2014 .

[53]  Kai Nagel,et al.  Two-lane traffic rules for cellular automata: A systematic approach , 1997, cond-mat/9712196.

[54]  Partha Chakroborty,et al.  Microscopic Modeling of Driver Behavior in Uninterrupted Traffic Flow , 2004 .

[55]  I. Ispolatov,et al.  Anomalously slow phase transitions in self-gravitating systems. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[56]  A. Schadschneider,et al.  Statistical physics of vehicular traffic and some related systems , 2000, cond-mat/0007053.